Principal component analysis (PCA) is a mathematical technique for determining paleomagnetic directions from stepwise demagnetization data.
History
The technique of PCA was first described by first described by Pearson (1901)[1]. Its application to paleomagnetic data was described by Kirschvink (1980)[2].
References
^ Pearson, K. (1901). LIII. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11), 559-572.
^ Kirschvink, J. L. (1980). The least‐squares line and plane and the analysis of palaeomagnetic data. Geophysical Journal of the Royal Astronomical Society, 62(3), 699-718.
Principal Component Analysis
Table of Contents
History
The technique of PCA was first described by first described by Pearson (1901)[1]. Its application to paleomagnetic data was described by Kirschvink (1980)[2].
References
Further Reading
Can be removed if not needed.See Also
Alternating Field (AF) Demagnetization
Chemical Demagnetization
Thermal Demagnetization
Paleomagnetic and Rock Magnetic Software